code: def _get_default_args(estimator_cls):
      defaults = dict(
          H2OAggregatorEstimator=dict(),
          H2OGeneralizedLowRankEstimator=dict(k=2, seed=seed),
          H2OPrincipalComponentAnalysisEstimator=dict(k=2, seed=seed),
          H2OSingularValueDecompositionEstimator=dict(nv=2, seed=seed),
          H2OTargetEncoderEstimator=dict(),
      )
      return defaults.get(estimator_cls.__name__, dict(seed=seed))
  
file_path: h2o-3/h2o-py/tests/testdir_sklearn/pyunit_sklearn_estimators_as_transformers.py
imports: from collections import defaultdict
  from functools import partial
  import gc, inspect, os, sys
  import numpy
  from sklearn.datasets import make_classification, make_regression
  from sklearn.metrics import accuracy_score
  from sklearn.model_selection import train_test_split
  import h2o
  from h2o.sklearn.wrapper import H2OConnectionMonitorMixin
  from tests import pyunit_utils, Namespace
label_desc: Use image node_id 2 for calling a global function with example usage: _get_default_args(estimator_cls) and returns: defaults